{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import warnings\n",
    "warnings.filterwarnings(\"ignore\")\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "sns.set(style=\"white\", color_codes=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Age</th>\n",
       "      <th>Attrition</th>\n",
       "      <th>BusinessTravel</th>\n",
       "      <th>Department</th>\n",
       "      <th>DistanceFromHome</th>\n",
       "      <th>Education</th>\n",
       "      <th>EducationField</th>\n",
       "      <th>EmployeeNumber</th>\n",
       "      <th>EnvironmentSatisfaction</th>\n",
       "      <th>Gender</th>\n",
       "      <th>...</th>\n",
       "      <th>RelationshipSatisfaction</th>\n",
       "      <th>StandardHours</th>\n",
       "      <th>StockOptionLevel</th>\n",
       "      <th>TotalWorkingYears</th>\n",
       "      <th>TrainingTimesLastYear</th>\n",
       "      <th>WorkLifeBalance</th>\n",
       "      <th>YearsAtCompany</th>\n",
       "      <th>YearsInCurrentRole</th>\n",
       "      <th>YearsSinceLastPromotion</th>\n",
       "      <th>YearsWithCurrManager</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>37</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>77</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>54</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>1245</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>33</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>34</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>147</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>4</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
       "      <td>9</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1026</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>3</td>\n",
       "      <td>80</td>\n",
       "      <td>1</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>21</td>\n",
       "      <td>6</td>\n",
       "      <td>11</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>28</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>1111</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Age  Attrition  BusinessTravel  Department  DistanceFromHome  Education  \\\n",
       "0   37          0               2           1                 1          4   \n",
       "1   54          0               1           1                 1          4   \n",
       "2   34          1               1           1                 7          3   \n",
       "3   39          0               2           1                 1          1   \n",
       "4   28          1               1           1                 1          3   \n",
       "\n",
       "   EducationField  EmployeeNumber  EnvironmentSatisfaction  Gender  \\\n",
       "0               1              77                        1       1   \n",
       "1               1            1245                        4       0   \n",
       "2               1             147                        1       1   \n",
       "3               1            1026                        4       0   \n",
       "4               3            1111                        1       1   \n",
       "\n",
       "           ...           RelationshipSatisfaction  StandardHours  \\\n",
       "0          ...                                  3             80   \n",
       "1          ...                                  1             80   \n",
       "2          ...                                  4             80   \n",
       "3          ...                                  3             80   \n",
       "4          ...                                  1             80   \n",
       "\n",
       "   StockOptionLevel  TotalWorkingYears  TrainingTimesLastYear  \\\n",
       "0                 1                  7                      2   \n",
       "1                 1                 33                      2   \n",
       "2                 0                  9                      3   \n",
       "3                 1                 21                      3   \n",
       "4                 2                  1                      2   \n",
       "\n",
       "   WorkLifeBalance  YearsAtCompany  YearsInCurrentRole  \\\n",
       "0                4               7                   5   \n",
       "1                1               5                   4   \n",
       "2                3               9                   7   \n",
       "3                3              21                   6   \n",
       "4                3               1                   0   \n",
       "\n",
       "   YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "0                        0                     7  \n",
       "1                        1                     4  \n",
       "2                        0                     6  \n",
       "3                       11                     8  \n",
       "4                        0                     0  \n",
       "\n",
       "[5 rows x 31 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pf = pd.read_csv('data/FEdata.csv')\n",
    "pf.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "'c' argument looks like a single numeric RGB or RGBA sequence, which should be avoided as value-mapping will have precedence in case its length matches with 'x' & 'y'.  Please use a 2-D array with a single row if you really want to specify the same RGB or RGBA value for all points.\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x1b663f729e8>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "pf.plot(kind=\"scatter\", x=\"Age\", y=\"EmployeeNumber\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b66535beb8>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 549.725x504 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=7).map(plt.scatter, \"Age\", \"EmployeeNumber\").add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "0为未离职，1为离职\n",
    "与年龄有很大关系，年轻员工有着较高的离职率"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b6664c3668>"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 765.725x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=10).map(plt.scatter, \"EmployeeNumber\", \"DistanceFromHome\").add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "超过10km路程的，人数降低，离职率提高"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b6664c3cc0>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 765.725x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=10).map(plt.scatter, \"EmployeeNumber\", \"Education\").add_legend()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "中等教育层次有着较高的离职率，最高教育层次，离职率最低"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b666570898>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 765.725x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=10).map(plt.scatter, \"EmployeeNumber\", \"EnvironmentSatisfaction\").add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b6665d3cf8>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 765.725x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=10).map(plt.scatter, \"EmployeeNumber\", \"Gender\").add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b668002c50>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 765.725x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=10).map(plt.scatter, \"EmployeeNumber\", \"JobInvolvement\").add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b66805e2e8>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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d/UOa0d2hZSfM0qNPvzz28zUrFuqcpXMD9/U/FqXtWvtXa+PP/UNKJDzl8wXNbLCtRmtq5TiitNHMvpXHr9bPpbZvvuMJrVqzRfl8YaztoHkOq63emr975x+0dzAjSZrSmdb1ly5q6HhGmYNrViyUpMjneVj7Yeegv//JnWlJ0r7BTF3nl38+WjEnQW0vbdukizrX6bDEgHblu3TX4BKtHTlGnicVCgock3/MlX+24jr0tz+lYu5qHaO9Gx5U/+rbld2zU6mp09V97tWactLZVfur5xjVe20FtVPt3JEU+Vpa2r5Z2//9ViWH+tWf79IDiTO0dMXFkeY+7NquVX8994Zac175/Eauk2ptR10jS/36r7WS9nRCI5l8w2v8RGn1vaSRe2xc97N6xdk2irxCoVB7rwYYYw6XdK+kH0ta7H8F3xiTlrRT0uHW2qwxZq6kB6y1x0Rse4GkzX19fZozZ07Laz8U3L92q3p/sl7DmVzoPu3ppD5yxWJJGrdv6bGwm2M9+9dbX71tNVpTXOMIa6PZfevVnk7qhPmHaf2zO0MfL/UdVtvbTpujvsdeiFzzP/5onXL58jUjlfT0V1cuaegvTrXmIJnw5HlSNhe+TjUyx2Fjj9Kuv/1v/nhdYG2Nzom/7dJcL23bpKu6Hlabd6DOkUJSPxp4o9aOHFgyo4zJr1XXYRT+vvZueFA77vmOCtnhsce9VLtmvPOD40J+rf6CxtBIjZXtVGsjlfRUKKjsOgib+zM6ntOVnQ8rWTgQSkcKSd2x/yy96bJ3VZ37m+94Qvc+/Hzd9ddzb4i6/kftu5aJWCMbOa8nQqvvJY3cY+O6n9UrzrYb5B2MTuMW53vw/1nSZyT1Bzw2Q9Iea2129Oftkl6bSb1Bt658qubCN5zJ6daVTwXuW3osatvV9q+3vnrbarSmuMYR1kaz+9ZrOJMLDfeVfYfVtmrNlrpqrgz3UjF813s8w2qqlMsXqoZ7qbE5Dht7lHb97YfV1uic+NsuzfWFHevKwr0ktXk5Xdixbly9tcZUuX8rrsN6++pffXtZuJekQnZY/atvr7u/oDE0UmNlO9XayOYK466DsLlf3ra2LNxLxWO3vG1tzblftWZLQ/XXc28IUu/81XMeTcQa2ch5PRFafS9p5B4b1/2sXnG2jQNiCfjGmA9I2mqt7avSb+WdMR9HLa7a0T8Ueb+wfVu1vZF962mr0ZriHEfQ9lbs22qlfsL6ywcE9rD9G5nrKLW1QiNzHDb2qG20+hwPe253YiBwn6DtUcYU1k8c+wc9N7sn+C+lQduj9Fe5T6M1+p/XSBtBc1/t2LXi/PSrda2H7R91eyNtNdNnq66fV4tW30saWX/iup/VK862cUBcr+BfKentxpgnJH1R0sXGmH/wPf6ypGnGmOToz0dK2hZTLU6a0d0Reb+wfVu1vZF962mr0ZriHEfQ9lbs22qlfsL6SySC/2Wy3pobGU8r56CROQ4be9Q2Wn2Ohz23P98VuE/Q9ihjCusnjv2DnpuaOj3w8aDtUfqr3KfRGv3Pa6SNoLmvduxacX761brWw/aPur2Rtprps1XXz6tFq+8ljaw/cd3P6hVn2zggloBvrT3fWnuStfYUSZ+X9Etr7V/7Hs9I+rWKfxGQpGskrYyjFldds2Kh2tPJqvu0p5O6ZsXCwH1Lj0Vtu9r+9dZXb1uN1hTXOMLaaHbferWnk1p8XHBYquw7rLblZ8yrq+ZkQOhIJb26j2dYTZWSCU+pZPWg08gch409Srv+9sNqa3RO/G2X5vruoSUaKZTXOVJI6u6hJePqrTWmyv1bcR3W21f3uVfLS7WXPe6l2tV97tV19xc0hkZqrGynWhuppDfuOgib+1UjS5Xz0mXbRgpJrRpZWnPul58xr6H667k3BKl3/uo5jyZijWzkvJ4Irb6XNHKPjet+Vq8428YByRtvvDHWDnp7e0+RtKCnp+dOY8z3ent71dPTY3t7e38r6e96e3s/KekwSR/u6enZH7HNwyR99Nprr9XUqVNjrP7Va8HsaZrV3aFnX9ilof1Zzezu0DlLjtKugZGxn6+75CSds3Ru4L6lx6K2XW3/Wm0M7s8qkfDGvu2j3rYaranV46jVRrP7Vh6/Wj9fd8lJev/Fi7R7735t3LZH/s/LV/YdVtsV55m6aj5ieqc2bNyhkUzxHXVTOtP68OWNfTAqyhzccNkinXnSkZHO82rtB52DlWOf0plWezqpTCYf+fw64vDy+Wh2TsraHp3r5/ZP0yv5yZqX2qlJXka78l362eCysW/RkYLH5B9z5Z+tuA797VfOXbVj1D5rvlKHzdTI9o3KDw8pNXWGpr/9/YHfolN5jkQ5Ro1cW5XtVDt3brh0/DkZdi1ddNHZev0bjtee5/9LXma/+vNdus87S2dedGnNuV924hGh13a1+uu5N9Q6xkHPr/c6qdV21DWy1K//WitpTyfGvkGmkfN6IrT6XtLIPTau+1mcczFBbjpYHccptm/RiRPfogMAAIAW4Ft0AAAAALy6EfABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIek4mzcGPNFSZdLKkj6vrX2GxWPf0HS+yX1j266xVr7rThrAgAAAFwWW8A3xrxF0lslnSwpLelJY8w91lrr2+00SVdZax+Oqw4AAADgtSS2t+hYax+QdK61Nitplop/mRio2O00SZ82xvzeGNNrjJkUVz0AAADAa0Gs78G31maMMTdJelJSn6Q/lR4zxkyWtE7SJySdKukwSZ+Lsx4AAADAdbF/yNZa+wVJMyXNlXSdb/s+a+0F1tqnR1/l/7qkC+KuBwAAAHBZbAHfGHOCMeYUSbLWDkr6mYrvxy89Ps8Y837fUzxJmbjqAQAAAF4L4vwWnWMk3WSMeZOK36JziaR/8T0+JOlrxpjVkp6T9GFJP4+xHgAAAMB5cX7I9l5J96j4Pvu1kh6y1v7IGHOvMeY0a+2fJd0g6S5JVsVX8L8eVz0AAADAa4FXKBQOdg11M8YskLS5r69Pc+bMOdjlAAAA4NDkHewC4sBvsgUAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHELABwAAABxCwAcAAAAcQsAHAAAAHJKq9qAx5tRqj1trH29tOQAAAACaUTXgS/pplccKko5pYS0AAAAAmlQ14Ftrj56oQgAAAAA0r9Yr+JIkY8xkSf9L0kJJV0j6qqSPWWv3xVgbAAAAgDpF/ZDtP0naLel1kvZLmirpu3EVBQAAAKAxUQP+EmvtZyRlrLWDkq6WdEp8ZQEAAABoRNSAn6v4OSkp3+JaAAAAADQpasB/0Bjz/0jqMMa8Q9LPJK2OrywAAAAAjYga8D8laZ+K78P/sqTfS/pEXEUBAAAAaEykb9GR9FZr7ZckfSnOYgAAAAA0J+or+DcZYzYbYz5rjJkda0UAAAAAGhYp4Ftrz5R0gaQpktYYY+42xlwSa2UAAAAA6hb1FXxZa5+y1n5K0rskzZD0o9iqAgAAANCQqL/Jdpak/yHp2tHnfF/SO2OsCwAAAEADon7I9hkVvxrzw9ba38RYDwAAAIAmRH2Lzlxr7fskbYizGAAAAODVyhhznTFmwBgzZfTn040x//fo/19sjHlfwHM+aIy5cvT/7/Tt+9dx1Rn1FfwjjDGPSJpmjDld0q8kXWatfTquwgAAAIBXmfdI6pN0haR/kXSipOmjj50qaUflE6y13/H9+KbRbb+Ms8ioAb9X0l9J+pq19k/GmP8t6buSzo6tMgAAAOBVYvSr4o+V9F5JNxpjbpP0RUmTjDF7JH1QUtYY87Skf5K0SdJkSferGPznSDrMGHOHpLslnWSt/bgx5ipJn5VUkPRDa+1XjTE3SjpS0kkqfrnNddbaB6PWGjXgT7fW3meMkSRZa79tjLm+1pOMMV+UdPlowd+31n6j4vFTJH1P0lRJD0r6oLU2G7X4V5v7127VrSuf0p/7h5RIeMrnC2N/zuzu0DUrFuqcpXPH9tvRP6QZ3R1adsIs9T22VcOZfGC7UzrTevPi2fr1+m3aO5iRJHmedGp6ky7uekLTvH3aXZisXw6coi1dbxjXj7+eyjq+e+cf9Pqs1YUd69SdGFCuo1tHvuMaTTnp7LIx7egf0uTOtCRp72AmcHzLTpilR59+eWxcpX7C7N3woLb/+61KDvWrP9+lX+VO09qRY7R/JBe4f9Acho2tsp/+1bcrs2eH+nNduntoidZlj9XyM+bpQ5efEnocS2POZPNjNU3pTOv6SxeN6yPomD769Mtl9U0Znb99g5my+al8bq3tQfV+984/jJ0bS9s26V2dj6rLGx7bZ6DQrvu8s9R5wlljdXmeVCiMn+ewMdYrqH5JoXMbVx3V7N3woLbc8wNNyuxWf75L9+w/VbNOPUcfuvyUyPMfNtawY1U6b/3zXxrr0vbN6l99u7J7dio1dbq6z71atz09VavWbBm73oLO28/e/Butf3bn2M+Lj5uuv/vQmwL7LfG3FXQOXdS5ToclBsbWFs/z9M5Jj5etE7c9PVX3Pvx8WS2eJ604c37gteWf98pxltacRgStU1Gvs6A2Ks/XeQN/LM6HNxDpPFnavrlsbXsgcYaWrrg4sL/KNSxo7Qhb2yrbqVQ6r0rjqGd+lp0wq+yeU7oPBa3x96/dqrUrf6m35NcE3kfqPYZ/Mfl5nZ96bGy+V42cqieyx47dIyvXhmrHP2gcUdbw0vFfu/KXOr/w2+J66kmJSZM14x1/WXaP9F87k9qSSqcSof23pxNqSyfL7qPV8sEHFw/oiOdWjV0rLy5Yru+s74p8n4065/62fnfXz5Vaf6emaZ92Fbp0X/Y0PbRvfui9rfL8DLsfBtVczzr7KnGVisH8QUkLVQzsn1cxqH/RGJOQtMNa+ytjTKekb1tr7x0N67LW/q0x5gPW2suNMe+VJGPMkSr+JeFMSfsk/acxpvR516NUfMX/AhX/AvD2qIV6haA7fAVjzGOjHTxkrT3VGHOEpPustYuqPOctkr4s6RxJaUlPSlpurbW+fTZI+oC19hFjzPclPWatvTlCPQskbe7r69OcOXNq1j8R7l+7Vb0/Wa/hTHBYkaT2dFJvO22O+h57oep+USxt26Sruh5Wm3egnZFCUj8aeKM2FI6v2k+pjn9fs0WnpDaOayefSOt1F/1fWjt8dM0xVdOeTuq/hVGmAAAgAElEQVQjVywOvFj3bnhQL931bSXymXH1rx05pmqbtcbm73Pvhge1457vqJA9EHb9/VzwxvIgEuU4JhOePnrVkrIFqpF5ChtLte2V83n/2q36xx+tUy5fvI6Xtm3Se7oeUsob/5fFbCGhHw78RdX5LUklPf3VlUuaunFUzkkq6alQ0FitUVTOdSvt3fCgXvzlt5UsjD8Hs/OW6ennd9Wcfyl4rGHHqtp5smzSZr1n8iNl10TOS+v2vWeMO2b+87Yy3JeUQn6tfhcfN11/3PyKsrkD51DlmpAtJCQVlPIOHLuMUvq3fWeGnk+V11ZJ0DXppdo1450fbCjk1xpflOspqI1kwpPnSYuT49fIaufJGR3P6crOh8edV3fsP0tvuuxdof3V0sg5JRX/Iucp/Lpr5r5Ueu7OJx7Q5ZN+G3gfiXJM/eOodm/zn2ultUFS3XNZub6FrVdLUpt0Vedvx6+nXlIzL/6I1g4fXbb+NiPoOESZi2r32WrC1q2rj+/Xwu131Zz/oPo/csViSbWPR7V9Gx1Pk7yoOxpjHpX06dEXvf9fSVskbdaBV+JvVDHg9xpjnpN0urX25YrtO6y1M0YD/kmSHpB0kbX2+tE+/qeKL3ynJO211n7dGHO0pP/PWrssaq1RP2T7bUn/LmmWMearkh4Z3RbKWvuApHNHX5GfNVroQOlxY8x8SR3W2kdGN/1AxfczHZJuXflUzQVmOJPTqjVbmg73knRhx7qyC1CS2rycLuxYV7Of0uO5fCGwnUQ+o/7Vt0caUzXDmZxuXflU4GP9q28vCzL++mu1WWts/j77V99eFiQq+1m1ZkvZY1HGnMsXyvpodJ7CxlJte+V83rryqbKby4Ud6wLDvSSlvHzN+S3J5gqhxy6KoDnJ5gp13wgr57qV+lffXhbCpAPnxvpnd0aafyl4rGHHqtp5ckH74+OuiWQhE3jM/OdtULj3b6/V7/pnd46Feyl4bUl5+bJwL0lpZaueT5XXVknQNVnIDqt/9e2hbVVTa3xRrqegNnL5grK54DWy2nmyvG1t4Hm1vG1t1f5qaeSckqR8vvp118x9qfTc5W1rQ+8jUfjHUW2+/UprQyNzWbm+ha1XF0x6PHg9LeTG7pGtCPdS8HGIMhfV7rPVhK1bc/90X6T5D6o/6vGotm+j45kIxpjjJC2R9L3R8H6BpGtU/S8IgxGaTlb87OnAO2xKi2WhRj/jRP1Ntv8i6XOSblfx1fjrorzSbq3NGGNuUvHV+z5Jf/I9PFvSdt/P21X8p45D0o6Afx4Nkm/RYtCdGKi6vVY/pcfD2snu2Rl5TNWEtZHdExxKwurxqzU2f5+1+qlsK+qY/fs1M09hYwnbXtlX5c+15i/K/Ia1XY9WnDtxtOXXyDkYVEtYfbWOVdR+g7bXs47UO3/1nCPV9g2rMWzew7bXEmV8ta6nam3Uc1xqbY/SXzX1nlNRNXNfyucLVe8jUfjHUc+87ugfaslchrVR7fxu1T3Sr/I4RJ2LRuqod8xR1oV6jke1feNa81vgPZJusdbOt9YuUPHtM2lJGR0I5FlFf/t7ye8kvdUYc7gxpk3FF7sfarbYen6T7YPW2k9Zaz8++k8TH4z4vC9ImilprqTrKvr2n82epOCXHg8BM7o7Iu2XSNT1F7BQ/fmuqttr9VN6PKyd1NTpkcdUTVgbqanTA7eH1eNXa2z+Pmv1U9lW1DH792tmnsLGEra9sq/Kn2vNX5T5DWu7Hq04d+Joy6+RczColrD6ah2rqP0Gba9nHal3/uo5R6rtG1Zj2LyHba8lyvhqXU/V2qjnuNTaHqW/auo9p6Jq5r6USHhV7yNR+MdRz7zO6O5oyVyGtVHt/G7VPdKv8jhEnYtG6qh3zFHWhXqOR7V941rzW+C/q/itOZKk0Xeo/LOkCyVdZIz5kKTfSPqfxphLqrTzkDHmV752tkn6gopv1fm9pP+01v5Hs8VGDvgBvlbtQWPMCaMfopW1dlDFX5R1sm+XF1T8dHDJEZK2NVHPQXXNioVqT1f+K0u59nRSy8+YV3O/KO4eWqKRQnk7I4Wk7h5aUrOf0uPJhBfYTj6RVve5V0caUzXt6eTYB5UqdZ97tfKJdGD9tdqsNTZ/n93nXi0v1R7az/Iz5pU9FmXMyYRX1kej8xQ2lmrbK+fzmhULlfTdFO4eWjL6funxsoVEzfktSSW90GMXRdCcpJJeWa1RVM51K3Wfe7VyXvA5uPi46ZHmXwoea9ixqnae3Dt86rhrIuelA4+Z/7xdfFxwiCptr9Xv4uOmK5UsP4cq14RsIaFsofzYZZSqej5VXlslQdekl2pX97lXh7ZVTa3xRbmegtpIJjylksFrZLXzZNXI0sDzatXI0qr91dLIOSUVQ2O1666Z+1LpuatGlobeR6Lwj6PafPuV1oZG5rJyfQtbr+7df2rweuolx+6R9a5pYYKOQ5S5qHafrSZs3dp61PmR5j+o/qjHo9q+jY5nIlhrF1prH63Y9iVr7VXW2mOttTdba++31h5jrf2FtXaBtXbf6H43Wmt7R///YmvtedbaH1hrPz667XZr7SJr7QnW2s8HPOc5a+1p9dSbvPHGGxsaaG9v76d7enq+WuXx0yV9o7e399be3t6kip8Q/kVPT88GSerp6dnd29t7fW9v7/qenp6tvb29n5W0pqenp+Y/S/T29h4m6aPXXnutpk6d2lD9rbZg9jTN6u7Qsy/s0uD+rBKJ4gcKS3/O7O7QdZecpCvOM2P7De3PamZ3h85ZcpS2vLQ39L18UzrTOu+0uXrxlUGNjH6LwIv5bu3MTdb89Ctq90a0uzBZPx1Ypi1dbxjXj78efx1HTO/Uf/xXTtuHOzQ3uVOTvIxyHd064oIPaMpJZ5eNaWh/VlM602pPJzWSyQeO75wlR2nXwMjYuK675KTQD8q0z5qvdPcs7Xn+v+Rl9qs/36V7s2dqfe64svcD+wXNYdDY/H22z5qv1GEzNbJ9o3LDg+rPdelng8u0Lnts4Dd9BI054XljNU3pTOvDl5d/AKjyOf658NdXmr9MJl/1fKi2vXI+F8yepiOmd2rDxh0ayeS1PdetnfnJOjb1ktI68N7GgUK7Vnpnq/vks8fq8kLuS0FjrFfQnNxw6SKdedKRoXMbRx3VtM+ar7buWdq58WmlcsPqz3fp50On63VLz9Wnrj090vyHjTXsWPnPW//8T+lM612XnaPjTzxeI9s3Kj88pNTUGZq5/C+1qe0Ebdy2Z+x6qzxv37psnp7ctEMvvXLgn7X936JT2W9Jqa1PXXu6jji8/Bx6JT9Z81LFNWF3YbLuGFimDdn5ZevE7Hdep01tJ+iZF3aXjdPzwj9gW5r30jVZGuf0t7+/4W/RCVunolxnpWMUeL5eVjxfH3ze09aB9uJ8KFPzPLnoorP1+jccX7a23eedpTMvujSwv8o1LGjtiHpOVZrSmdZHLl887rqLMj/nLDmq7J5Tug9VrvFXnGeUn3aUHnh2WK/LvzzuPlLvMdw4MEUDqWma7e0Ym+9fDp+u3+ePG7tH+teGWsc/aBxR1vAbLl2k+SeeqPufHdbcwrbiejr6LTozRz8QXrn+SsVv0eloT4X2355OqHNSquw+GnYcMlNna9Fio6lD28aulZ0nXKa+V46KdJ+NOuf+tla8883atDulkRc3qV0j2lUo3pt/N3R0pPOz2v2wsuaoa+cEuGmiO5wIkb5FJ4gxZo+1tmq6Hv3U8Lsl5ST91Fp7ozHmXkmft9Y+ZoxZLOkWFT8t/Lik91lrh0MbPNDuAr3KvkUHAAAAh5zW/DPMq0zVgG+MOTXseZIesNZOjqWqGgj4AAAAaAEnA36tT/r+tMpjf25lIQAAAACaVzXgW2uPnqhCAAAAADQv0nd1jv7q3eskna/i933ea639P3EWBgAAAKB+Ub+M/+uSFku6TcWv1rzeGPN6a+3nYqsMAAAAeA0zxrxH0mdV/KVa/2it/VaU50UN+OdLOmX0S/1ljLlN0loVf7stAAAAgBYyxhwl6cuSlkoaVvGXZK221j5Z67lRA/7e0X1LX7Sbl7SvgVoBAAAAZ1z0sV+8R9JXJM2TtEXSp+/6+iU/bEHT56n4m21fkSRjzB2SLlfxd0tVVTXgG2P+ZvR/X5T0oDHm/6j4nfZXSXq6mYoBAACAQ9louL9FUufopvmSbrnoY79QC0L+bEnbfT9vl3R6lCfWegV/0eifu0b/K30v/kZJjf2GLAAAAMANX9GBcF/SObq92YCfUHne9lR8F01Ntb4m833+n40x8yWlrbXP1lshAAAA4Jh5dW6vxwuS3uz7+QhJ26I8MerXZB4n6Rcq/lNBwhizQ9I7rbW8TQcAAACvVVtUfFtO0PZm/UrSjcaYmZIGJP03SddHeWIiYge9kr5mre221k6T9HeSvt1IpQAAAIAjPi1psGLb4Oj2plhr/yTpM5JWS3pC0g+ttb+L8lyvUKj9VnpjzDpr7ZKKbX+w1i4Ke06cjDELJG3u6+vTnDlzDkYJAAAAOPR5zTYQ47foNCzq12SmjDGH+76mZ4b4kC0AAABe40bD/EEN9JWiBvz/LekRY8yPR3++UtI/xFMSAAAAgEbV+h78w0f/9w5J/ZLeIWm3pA9Za/tirg0AAABAnWq9gr9DB96K43+P0tXGmL+01t4TT1kAAAAAGlHre/ADv2XHGLNU0m2SCPgAAADAq0jUr8ksY61dKynb4loAAAAANCnqh2zHGGNOkvRJteYL/AEAAAC0UN0Bf/Q5/6XiL78CAAAAEBNjzFRJD0m60Fr7XJTn1B3wrbVPqPjbtAAAAIDXtE1f/m/jftHVMZ/5aUu+F98Yc4akWyS9vp7nNfQefAAAAOC1bjTc3yJpvorfODlf0i2j21vhOkkflrStnicR8AEAAIDGfEVSZ8W2ztHtTbPWfsBa++t6n0fABwAAABozr87tE4KADwAAADQm7FslD+q3TRLwAQAAgMZ8WtJgxbbB0e0HDQEfAAAAaMDot+VcJ+l5SYXRP69r1bfoNMorFAoHs/+GGGMWSNrc19enOXPmHOxyAAAAcGjyDnYBceAVfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhqTgbN8Z8QdK7R3+8x1r7yYDH3y+pf3TTLdbab8VZEwAAAOCy2AK+MeY8SW+XtERSQdIqY8xl1tqf+3Y7TdJV1tqH46oDAAAAeC2J8xX87ZI+Zq0dkSRjzFOS5lXsc5qkTxtj5kt6UNLHrbX7Y6wJAAAAcFps78G31v7RWvuIJBljjlfxrTr3lh43xkyWtE7SJySdKukwSZ+Lqx4AAADgtSDW9+BLkjHmDZLukfQJa+0zpe3W2n2SLvDt93VJ/yLpM3HXBAAAALgq1m/RMcacJalP0t9aa/+14rF5xpj3+zZ5kjJx1gMAAAC4Ls4P2c6VdKekK621/xmwy5CkrxljVkt6TtKHJf08YD8AAAAAEcX5Fp2PS5ok6RvGmNK270i6WNLnrbWPGWNukHSXpDZJv5H09RjrAQAAAJznFQqFg11D3YwxCyRt7uvr05w5cw52OQAAADg0eQe7gDjwm2wBAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIcQ8AEAAACHEPABAAAAhxDwAQAAAIek4mzcGPMFSe8e/fEea+0nKx4/RdL3JE2V9KCkD1prs3HW1Ap7Nzyo/tW3K7tnp1JTp2tt55v0g6enKZ8vSJImtSU1PJLTjO4OXbNioZa2by7b/8UFy/WPv2vX3sHMWJtTOtM6ZvZU/X7jThUKB/ryPKlQOPCnf/vJx07Xpm17xrXz5sWzNfj0b3V+4bfq8oYlT0pMmqw/v/5S/Xr9Nr0lv0bdiQENFNokeeryhtWf79LdQ0u0duSYmuOfOTouSbp15VPa0T+kyZ1pSdK+wczY/+8dzOi09s1656THi/0lp+hnexZr7cgxWtq2SRd2rFN3YmCs7yldbVqeXqtJmd1l9UzpTOv6SxfpnKVzJUn3r92q7975h7JxV2pPJzScyZdtm9SW1P6R3Lh9/bXsKnTprsHx83Bm53O6dPJ6Tcrs1kChTZ7nqVPR521Z+yZd1vmoOjUsSRouJJVVSl3esPanp2neO9+r256eqpWPPF92nGuN6YI3zteHLj9l7Of7124dOyYzfMfpW3esHzf2dCqhTPZAe2d0bNZlU34/Nv/37D9Vjw0frbMmP6/zU4/pMG9g3HgntSVVKBQ0nMkHHtPSfv7zN2y/yvPqz/1DSiQ85fMFTelMK5PNjxvDskmbdUH744F9lniedGp6ky7qXDduDEvbRrcnBpSeOiPw2gxSqstfn1Q850vbKse6q9Cl+7Kn6aF988eOzTlL544dsz/3D43rpzRvlf1Vrgcl7emEPM/T/pFcWd95eUqooP58lzZkjtLJ7ds0zdun3KRu/WzPyfrtvvmSDqwfjz798rhzaO3KX46tHaU53FA4TiOZfNl+lddmMiHlC8Vj4D/uv8qdpt/nj9O+wYzaR6/NoGtxS9cbQs+LMP5x+PefWTHv/lorn+Nfu0rjfTxzjAoFlbUjRVuTSia1JbU4+ayWtwWft54nrThzvv7HCXvUv/p2Zfbs0K588LrkH69/jSzV9M0fr1M2V3EuJge0uzBZvxw4pa72Pnvzb7T+2Z1l+/mP19i66A3XrDeV9CRprLZagq6vsyY/r/NSj6k7YF1KJDwtOubwsvtj6ZrxrzO9P3li3JrqrzGovtJ58uv128Yd78r5SCmvdq8YaYprflJd3kjgMZ8zs0tbXx4IbMu/Hged+8mElAsYRnu6+Bpu2Pq8oXCcPnLFKXpq806tWrNlXLueJ3kqXr9+lfeOqKrdI0qCzj00xiuEpYkmGWPOk3STpHMlFSStktRrrf25b58Nkj5grX3EGPN9SY9Za2+O0PYCSZv7+vo0Z86cWOoPs3fDg9pxz3dUyA6PbRspJPWjgTcGLmZndDynq7oeViKfibR/Kyxt26T3dD2klFd+AeYKUkGJcdsbqSuZ8OR51RfopW2bdFXXw2rzDoSykUJSjwwfqzPbN5ZtzxYSkgpKeYWyfUv1pJKe/urKJZJUdtNqVliN/nkI2sev1ryFHQ+/jFL6t31nNnROlEL+/Wu3qvcn6zWcOVBnMuEpXyiE/qXBX2PUYxU03ijzGGW/VNJToSDlqoS3VvUZdWyNqlVfezqpt502R32PvVB2zFqh2jlbesEgqKYgyYSnU9s26d0dD1Wdq1TSUy5XUNCRa/Q6K+3zRPbYmutNVKV5/4/fbQltL0q97emkPnLFYkn1rUlR5+LqKWuULES/b5TWyNJfXr7+w8fr6rNae2Hhvpl1sRmNjMcvmfAirTHN1lRNtXqbHV/c7TWinhr8594E8WrvcuiJ8y062yV9zFo7Yq3NSHpK0rzSg8aY+ZI6rLWPjG76gaQrYqynJfpX314W7iWpzcvpwo51gfsvb1tbFu5r7d8KF3asCwyTSU9VQ2Y9deXyhZo3tAs71o1b7Nq8nM5qf2bc9pSXLwv3lfVkcwXduvIp3bryqZaF+2o1+uchaJ9q+wf1UW3eJSmtbMPnxKo1WyQVX92sDIq5fO1wX6ox6rEKGm+UeYyyXzZXiHzjbbbPqGNrVK36hjM5rVqzpeXhPqzvEq/iVlZrzLl8QRe0P15zrrIh4T6snijXWWmfKOtNVKV5r9ZelHqHM7mG1qSoc+EP90H7VCqtkZLG/qynz2rtVYb7sDbrab8ZjYzHr9XhPqymaqrV2+z44m4v7hr85x4aF9tbdKy1fyz9vzHmeBXfqnOWb5fZKv4loGS7pIl9Ob4B2T3jFzpJ6k4MtGR7KzTTdivrCmsrERoDqrexI+AtDM2KcnyizEm1faLOaaNzX/pn1Wbmp95jVbl/1PO8lddDs31GHVujotRX7W0mcfTd6P7NHrdmrrM41spa8x61lkauuTjnolRPZV3NttfIc6Pu04iDcV+tJc41rJk+4mhvImqI437/WhP7h2yNMW+QdJ+kT1hrn6no27/KepLqf1PXBEtNnR64vT/f1ZLtrdBM262sK6ytfB3/GuZvY0Z3h2Z0dzRdV1j7YdujzEm1faLOaaNzn0gU57OZuan3WFXuH/U8b+X10GyfUcfWqCj1lY5dq9U7hlr7N3vcmrnO4lgra8171FoaWZPinItSLZU1NdteI8+Nuk8jDsZ9tZY417Bm+oijvYmoodX3+teiWAO+MeYsSX2S/tZa+68VD78g6Ujfz0dI2hZnPa3Qfe7V8lLtZdtGCkndPbQkcP9VI0uVT6Qj798Kdw8tGX1Pe7lcQYHbG6krmfDGPihVrY6RQnJcH78dPn7c9mwhoWzBG7dvqZ5U0tM1KxbqmhULa/Zbj7Aa/fMQtE+1/YP6qDbvUvE9+I2eE8vPKL7z7ZoVC9WeLq+z9FmJWuo5VkHjjTKPUfZLJT0lI4beZvuMOrZG1aqvPZ3U8jPmjTtmcfVdUvmWrVpjTiY83Tt8as25SiW90L+6N3qdlfaJst5EVZr3au1Fqbc9nWxoTYo6FzmvvvtGaY2UNPZnPX1Wa2/xceNf2Gp2XWxGI+Pxi7rGNFtTNdXqbXZ8cbcXdw3+cw+NS954442xNGyMmStptaT/bq29q/Lxnp6e3b29vdf39vau7+np2drb2/tZSWt6enoeqtV2b2/vYZI+eu2112rq1KmtL76K9lnzlTpspka2b1R+eEipqTP0+8PP16qXjxy7cU5qSyqXK35jw0UXna3jTzy+bP+dJ1yme7a/TiO+T+9P6Uxr4fxuvVzxz1KlcFYZ0jyvuOgO7s+Oa+fEJSfrjzuSmlvYprRyY9+is/MN79Z9L03X6/Iva5KX0UChTSOFlNLKqT/fpZ8NLov8LTo3XLZIZ550pJ59YZeG9mc1pTOt9nRSmUx+7P+f2z9N/YUpmpvcWewvOUU/2Xea+vYv0iv5yWPb+/Nd+ung6Xqu7TgtSL+iVG64rJ4pnWl9+PLFOmfpXC2YPU1HHN6pDRt3lI173HFKJ8a9z3JSW3Lce2W357rLatlVGD8P23Pd2puYquMm7VIqN6yBQpsyij5v23Pd6i9M1rHpl4rHQ8VvVNhfaFNaOe1PT9Oci67XprYT9Oyfdtc1Jv+36CyYPU2zujvGjknpOL1x0ZFaZ18eN/Z0KjH2VoXtuW7t8abouI7dY/P/86HT1bd/kQZT0zTb26FJyowb76S2pJIJT1szh407pv79Sudv5Xz795vZ3aEbLj1wXg3uzyqRKH7odkpnWgmv/Fsttue6tUtTNCcR3GfJi/lu7cxN1rzUzrIxlM7Deani89Mh12aQUl3++trTSY1k8mPbgs6te7Nn6ndDR2tmd4euu+QkXXGeGTtmg/vHf4FYad4q+wv7S1t7OqF0KqGtI+XHI69i+O7Pd+mxkaM1LTmsdm9EuUnd+vnQMq0ZOlpScRznnTZXuwZGys6h+QtP1APPDo+tHaU53FA4buzbaW64tHiuVV6byYS0LVc8Bv7jfm/2TD3pvV6ZTF6T2pLjai5di1u63lC23vjPizD+cfj398975Trif86zA1PK1q7SeB/PFM+tUjv1rEkl/ckZeiXfpaNCzlvPk045/RT9xVkna2T7RuWGB7WrxjrjXyOl4lowe0aXHn3yReUrz8VERrsLk/XTgejtvXXZPD25aYdeeuXA/any/B5bF71czXpTSa/4bTAR36FWeX1ty3ZrMDVNR4asS4mEp5OPLb8/lq6Z0jn9F4uO1ONPvxT6fvxUMri+0nny4iuDZcc7aD7yBU/J0TcmFNf8dOB9w/OkubO6tGcgE9hWaT1eO3JM4LmfTIR/q1YqGb4+bygcp49etUTdk9u0cduecW14npTwNO7NjP57R1TV1v7K+fWfexPkponsbKLE+S0635T0fkkbfZu/I+liSZ+31j5mjFks6RYVvybzcUnvs9YOj2tsfNsLdJC+RQcAAADOcPJbdGIL+HEi4AMAAKAFnAz4/CZbAAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIQR8AAAAwCEEfAAAAMAhBHwAAADAIRMwIsUAAB64SURBVAR8AAAAwCEEfAD4/9u79zg568Le459ndieb3c1ushBQMBBu4WfkksQEjEUuVmrFYr3S00KLrRXrS0nrOT329LT2HD29nJ562tNzjJ72ZWs91ntV+hIEWqUoylVCABX8qZCASBAIm4Rs9jKz85w/5pLZ2ZnZmWSTJQ+f9+vFi8wzz/xuz+/5Pd+dfWZWkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhADviRJkpQhBnxJkiQpQwz4kiRJUoYY8CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhADviRJkpQhBnxJkiQpQwz4kiRJUoYY8CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhADviRJkpQhBnxJkiQpQwz4kiRJUoYY8CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhADviRJkpQhBnxJkiQpQwz4kiRJUoYY8CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhADviRJkpQhBnxJkiQpQwz4kiRJUoYY8CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhADviRJkpQhBnxJkiQpQwz4kiRJUoYY8CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRlSO+hriCEMAzcBlwaY9ze8Nx/Bd4GjFY2fTTG+OFD3SZJkiQpqw5pwA8hvAz4KHB6i102AL8cY7z9ULZDkiRJer441LfoXAW8G3i8xfMbgD8IIdwfQtgcQlh8iNsjSZIkZdohDfgxxrfHGL/Z7LkQwhJgK/Be4KXAMuCPDmV7JEmSpKw75PfgtxJj3Au8tvo4hPCXwMeAP1yoNkmSJElHugX7Fp0QwokhhLfVbUqAwkK1R5IkScqCBXsHHxgH/iKEcDOwnfK9+tcsYHskSZKkI95hfwc/hHB9CGFDjPEp4LeAa4FI+R38vzzc7ZEkSZKyJEnTdKHb0LUQwknAtptuuokVK1YsdHMkSZJ0ZEoWugGHgn/JVpIkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScqQ3kNdQQhhGLgNuDTGuL3hubXA3wHDwC3AO2OMxUPdpvlw17XX0HPvNSxLxhgtDXLd+Dq2TJ0CwPpFD/NLA7fTl0wDkALfmjydL+7bWHv+0v6tjOTGGEv7gJTBZIqJ/FJuLKznG6MrWD7SzzvXjDH4wLUsLuyu1fE9VvGz61fwzfse59l9BQCGBvK84w1nsb5vG6M3f4rinp2M9w7zhd1nc/fkybU219dbIiFHynT/CMf9/JUMnXkBAM9+9xZ2/Msn6BkfndWvNacdTXx0FxNT0zPGolm51f83ljE0kOf8Ncfz7e8/yVOj4+RyCaVSyjGV/h7zg3+mNLEXUhhL+7hnaiVnLfoJy3Jj7Ev76EmLtXEdS/v40r5zamWfu3gbl/Td03Rcr923llv3rqy14T3nTjLy4DXkpsYqZS3iS/vOZcvUKbU2DQ3kKRRLM/q7ftHDvG5gK8tyY+SHl/PM0kDp0ftYyl52pYN8tbihVk+zcRlLFwEJg8kko6VBnug/lZWTkQEma326vriR+0unsXdfgQtHHuN1/VvpmRhld7qEL4+tZfXgM6xPHiRJU1JgKu2lLymyKx3k2n3lsW5Wd7V9E1PT/OLgvSxN9pIfXk7/aesZ/9EWCnuertXxg97AxNQ0Z+d+VCtnNB3kurryq+Owq7S/3qq5xrh+3l60/gS+vuXHbLnhy1xYurNy/PaPU32/6st+4fYbKe7ZSXHxMr605+zauCeVc27WGCQpY6WZ43/d+DoeHTyD448e4DsPP0OplM4614cG8kwVpjkzqRuLymuBGdsenF7B6p7Hao8fKK5g3aLtteNbP2/vKZzCS/MPzypzy9QpDA3kOTv3Iy7uuZuR3FjtPH1w287aulM/x8fSRfQmJfoo1sb6+uLLuW3vSpaP9HPlJat5cNtOrr/9kRnj0nTtGqysXen+teu6ws8wWSixoW8bl/XfTl9SrA30ZNrDDcmFrL/kF2vH8hM3PDjj/K6O4WSh1HLtqG9LkkCawpsH7uC8vh/W1pRbJ1exvXjsjNd8bXoD95dOq62H7fpXff5NA3cxmEwBsI8+vjhWPh5pOrNt9ef6yCuvYOjMC3j2u7fw9L/8PenEXlJgPO3jC2Pn8OjgGVx5yeqWY3BM5ThctP6EWh3V/Z4eHefCkcd4TX7LjPV+y9QpnLfkEV43cC+LC7tbrqsb+rbxxqF7GZx+dv8+dedrVZJATy6hOD17nlfH/KLKmtM7sYve4aPpP209ow/c1fSa0Ow4Np6v1XPo/DXHs/s7t9TmdLWs+6ZPndGe6roAzBrDvnyOqWKJNIVcLuE1LzsRgBvvfJRSKd1/zJLma279OVPfl3xvjkKxPDd7crC292HeNPBtBpPqujxz7araOLCd1yzawrJkjHH66Mv3kCvum7EmLl7Uw/pFD9f6Xb3Of310Bblcwrreh3jz4LcZSCZr173661r92KaUTzsS6Okf4uhXv23GtXvnv36M0vizAEwl/Xxu7wbunjyZDX3beMvS++kv7mE6P8DEVJEBZq+tPTkYWJxn774CSwbyAOzdV2D5SD/nvPjYGbmj/nidcvww9z+0kzRtvu5OLx7h2vF1fGN0BUsG8uwdL8w414Cm54cOTpI2jvI8CiG8DPgo8GLg9CYB/7vA22OMd4QQ/h64O8b4fzso9yRg20033cSKFSvmv+FzuOvaaxi+7zMsSvYHv6m0h8+OvRyAKwa/RU8y8zVpCt+cPJ3txWP55cHbZ7y2Xn05jftVn2tcZADOWbyNy5fcQa5UaLr/+kUPt6y3lMvzgte9C4CfXvuRlmU0067cTsuolnP54K30JjPnY5qWLzytFNMcnx77GWD2eLVqQ7mu2+hNZoaNYprw6bHzuuprY/vaHb9mmvWvXZ+m0/JFq9WYTKU93DF5Khv7HmpadzHNAemscW4so90cbFZ+4zHudIx7exJefe6J7Lz3G7xl8a0dH7+5zo1O5mWz17XSrLximgDJjD42Hs9W87eY5rht8rSW4wizx75EjlLKrDFtpX6sqwGp3djB3GvXFYO30tNk7kyn8LmJCzh67YXcdPdjTBbajzs0H9P64/HmgTs4v+8Hs8azBDPa2M3caLXOVM+5dvMn6e1jydkX8ezWr0E63fT1301X8aoNK1qOQV++h6svW1P7IWDzP93HZGG6ZbvbncudrDWdzu+qpmsclVDZosxOzsdu9oNyeE+A6SY/cHfT9rm0amcna9dc9XVyLQfazsdmr52hp5djLn03AE9d92GYnvn+aDFNuG1yVcs51GoMDlS7Memknvrz4zBrkzKOXIf6Fp2rgHcDjzc+EUJYCfTHGO+obPo4cNkhbs+86L3vn2dN4EXJNJf2b+XS/q2zLpBQvsif1/dDLu3f2nYBqi+nVR3NvLbvnhnBvHH/dvXmSgVGb/4Uozd/qm0ZzczVn07KqJbTLHS2C/dQDjutxqtVG8p1zQ5JvUnadV8b29fu+DXTrH/t+tSTtA731frP6/thy7p7k1LbcD9XH1qV33iMOx3j4nTKjXc+ymsWbenq+HVSfyfj38ncbFVeb5LO6mPjsWl1rHqTUttxbFZfjlLH4b7avmrfqr+ZaDd2naxdzcI9lAP3axZt4cY7H+0o3M/VFijX2Ww8G9vYzdxotc5Uz7l2bUuLkzy79auzwn396ycL023HYLIwzSdueBAovztd3a+bc62xX+3meqfzu6rpGjdHmZ1eq7q5ppVKaVfhvlX5c2nVzk7Wrvm4ls81H+fs03Sxdu1uDPfVNrebQ/VtmQ8HOxfrzw8dvEN6i06M8e0AIYRmTx8P7Kh7vAM4/G/HH4Cl7G26fSQ31vZ1OdI595mrnFbPzbV9rnqLe3bOa3u63a/TcuajDQfan/nq66EuI8fB/1auXf2tyq9/TTfjWCp1d150cg50M34He04eqE7G8WA1ltXt+lHVydo1khtreotTp21r3N7NPO50bnQ6L1vul7b+Aav6mrnG4OnR8Rn/b1ffXGMw33P3QNa4TufUgc69Th1oOZ22s/G5Q3Ut76Z8aH/ths7Oo8N1DDqpp/680MFZyA/Zlu8V2C+h/NvX57zdLGm6fbQ0yGhpsOXrSiRtn++knAPdPle9vcNH0zt8dFdld1Jup/t1Wk6r13Y6rnPVNV99PZj+HGwZpXn4bWO7+luVX79/N+OYy3V+XrQru9P652rPge7TrXbjOF/1NZbTbuwOdu0aLQ2Sy3U+9+Y6jt3M407nRqfzsuV+SetLZvU1c43B8pH+Gf9vV99cY9DJXJnvc6Fxv06vSd1eu7p1oOV02s7G5+bjWj5XXZ3U0e7aDZ2dR4frGHRST/15oYOzkAH/MeC4uscvpMmtPM9FxTVvYCrtmbFtKu3huvF1XDe+jiafXyJN4dbJVVw3vm7Wa1uV06qOZq6ffCmlXL7l/u3qLeXyjLzyCkZeeUXbMpqZqz+dlFEtp3xP80xzfUSkmOZajlerNpTrmj31i2nSdV8b29fu+DXTrH/t+jSdJm3HZCrt4dbJVS3rLqa5puPcaR9ald94jDsd496e8gflbpxa39Xx66T+Tsa/k7nZqrximszqY+OxaXWsimmu7Tg2q69ErumYtlI/1tXQ2W7sOlm7plvMnekUbpxaz2tediJ9+bnHfa62QLnOZuPZ2MZu5kardaZ6zrVrW9Lbx9C6n4Nkdv+qr+/L97Qdg758D1deshqAKy9ZXduvm3OtsV/t5nqn87uq6Ro3R5mdXqu6uablcgk9Xfyw2Kr8ubRqZydr13xcy+eaj3P2qae3du2mZ/YNGcU0aTuH6tsyHw52LtafHzp4Pe9///sPeSWbN29+D/DxTZs27apu27Rp0+7Nmze/Y/Pmzfdt2rTpx5s3b34fcOemTZtu66C8ZcB73vrWtzI8PHwIW97ci8JqHt7dy+SOh1hMgdHSYO1T7zumR3i6NETo/Qk9laWx/lt0dkyP8ExpCSf07GRxUmAs7WMq7SHPNBP5pdxQejl3jK2kMHw8Z60JJDsfoXd6slbH91jFq889kSee2cdU5RsphgbyvOmNF7HqJauY2vEQpclxxnuX8k97N9Q+0NJYb4nKh5j6R3jha9/O0JkX0HfsSvIjx7LnkR+QFCZm9AvK36Kze+/UjG88aFVu9f+NZQwN5Ll4wwnsGpti30SRXK4cWIvDx3PmmhczuPth0uJU7dsE7pw6leHcBIuTAvvSPkoptXEdS/v4/L6NtXHfzRArcs3H9cuT53LnePkbhfb2Hcva9S+h75mHSKYLlbIW8fl9L699IDFNy23NJfu/caLa1xN7y3Xkh5ez+wXrGN89Sh9T7EoHub64kTvHT245LmPpIqbSXvJMM1oaZPvi1QwUd5Fn/zcDfbl4Hg8kp/PIxFKm+o9iVf8ukuIEu9MlfGHsXAqLlnBc8nTtW04m0156KLErLY/1TRNnNa17VzrIV4ovZ+vEClbmn6EvmSI/vJzBM86nNLab6cl97E6X8MWxc/hBb+AnxRGeKg7WyhltKL86DrsajnEnY1ydC+9+yxouuzhQWvoivvGjSV5QerJy/PaPU7Vf1dft7TuWdetXMzz+OKXJcYqLR7hm/Jza8U2Ax5uNfwJjpZnj/6V95W8/WbViKU/tmmgayIcG8uyYHuHJQt1YlAb54r5z+U7hhBnbthZPYQkTtcf3FE7h6J69teNbP2//bfIsdk4vmfH6aj/39h3LaLqE43iaxUmhfJ7+wjt4rO+02rpTP8fH0kWUSOip/BJ0LF3El4uv4K7xk8vfUPXGsxhZsohbHsnNGJema1f+J+V77Ru+RefHhWXsTIcJvY+X66n7Fp2vJK9k4+vewGUXB44d6edHj+2acX4PDeRnfWiy8Rypb0uSwAOFFQzmxlnR80xtTfnW5Ol8c3L1jNdcX9zIA8npTBVKbcus1rmzNMSpvU/Ujsk++vj82EbuKZwyq2315/rRr34bI+e9id6RFzD+yPegOFX7Fp3PjW3k0cEzuOr1Z7Ycg2NG+rnq9WfWPkB40vFLa/s9NDbEVP9RnJR/ZsZ6f9PEWezrXcopfbvonZ5suq7umB5hNB3i1MWj5EtT+/dJZ5+XSVL+obrZXURJUj5vCpU1J1ecpHd4OUvOOJ99o880vSY0O46N52v1HHrJurO5b0dam9PVsu6bPnVGe4YG8lz9ljVsPPO4WWPYl89RqpykuVzCJRtXsuqEZTz0+B4eL9YdM5qvufXnTH1f8r252q1VT6YjPDW9hFN7f1q3Ls9cu6r9fjY3zIrc0yymwDh95PJ9JKWZa+Joz3L2JEO1flev87ePreSn6VE8Pb2E0/I/JV/55qrG61r92NaGqfItOssv+a3atbt32QuYePSB8vWT8rfofHZsIzdNnMVoOsTpA7vJl6aYzg8yPp1rurb25GBJf55CocTQQJ6+fA+FQoljRvq5aN2LZuSO+uO1euUIT46Ot1x3pxePcF1xI3eMrax9O12jxvPjMPvAQlR6qB3Sb9GpCiFsBy6KMW4PIVwP/JcY490hhDWUv2VnGLgH+I0Y42TrkmrlncQCfouOJEmSMiGT36JzWAL+fDPgS5IkaR5kMuD7l2wlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRliwJckSZIyxIAvSZIkZYgBX5IkScoQA74kSZKUIQZ8SZIkKUMM+JIkSVKGGPAlSZKkDDHgS5IkSRnSu9ANOEA9AE888cRCt0OSJElHqFe96lUnAY/FGIsL3Zb5dKQG/OMArrjiioVuhyRJko5c24CTge0L3I55daQG/G8D5wM7gOkFboskSZKOXI8tdAPmW5Km6UK3QZIkSdI88UO2kiRJUoYY8CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhADviRJkpQhBnxJkiQpQ47Uv2S7oEIIlwPvA/LAX8cYP7zATdJzVAjhZuBYoFDZ9FvAqTSZPyGEi4G/AvqBz8UY33f4W6znghDCMHAbcGmMcXuruRFCWAv8HTAM3AK8M8ZYDCGcCHyS8tyLwBUxxr0L0BUtgCbz5x+AVwBjlV0+EGO8ptt5dbj7oYURQvivwC9VHn4lxvh7rkFHHt/B71II4UXAn1JeLNcC7wghvGRhW6XnohBCApwOrIkxro0xrqX857BnzZ8QQj/wMeD1wGrgnBDCJQvUdC2gEMLLgG9RnjvMMTc+CVwdYzwdSICrKts/Anwkxvhi4G7gjw5fD7SQGudPxQbgguo6VAn3BzKvlHGVIP9qYB3la9T6EMKv4Bp0xDHgd+9i4N9ijM/EGMeALwBvWeA26bkpVP7/ryGE+0IIV9N6/pwL/DDGuK3yTtkngcsWpNVaaFcB7wYerzxuOjdCCCuB/hjjHZX9Pl7ZngcuoDy3atsPU9u18GbMnxDCAHAi8LEQwv0hhA+EEHJ0Oa8Odye0YHYAvxtjnIoxFoAHKf+w6Bp0hPEWne4dT/kEqNpBeaGUGo0ANwGbKN+O83XgczSfP83m1YrD0ko9p8QY3w4QQvXnw5Zzo9X25cCeulsqnEvPI03mzwuBfwPeBewGrgN+E9hLd/NKzwMxxu9V/x1CWEX5Vp0P4Rp0xDHgdy8HpHWPE6C0QG3Rc1iM8Xbg9urjEMLfU76H8U/qdqvOH+eVWmk1NzrdDs6l560Y48PAG6uPQwgfAq6k/O5qN/NKzyMhhDOArwDvBYrMvOXLNegI4C063XsMOK7u8QvZ/6t0qSaE8IoQwqvqNiXAdprPH+eVWmk1N1ptfxJYGkLoqWw/DufS81YI4awQwpvrNiWUP/Tf7bzS80QI4TzKv33+/Rjj/8M16IhkwO/e14BXhRCOqdzb+GbgxgVuk56blgEfDCEsDiEMAW8FfpXm8+dOIIQQTqssipcDNyxUw/Wc0nRuxBgfASYqF2OAX6tsLwDfBP5dZfuVOJeezxLgr0MII5V7o98BXEOX82ohGq7DL4RwAvDPwOUxxs9WNrsGHYEM+F2KMf4E+EPgZuBe4NMxxrsWtlV6LooxXkf5V5xbgS3Ax2KMt9Jk/sQYJ4BfB74IPAB8n/0fUNLz2Bxz4wrgf4UQvg8sAf5PZfu7KH9D0wPA+ZS/llXPQzHG+4H/DtxKef7cG2P8zAHOK2XffwQWA38VQrg3hHAv5Xny67gGHVGSNG28TUqSJEnSkcp38CVJkqQMMeBLkiRJGWLAlyRJkjLEgC9JkiRliAFfkiRJyhD/kq0ktRFCSIHvAtMNT70hxrh9Hsr/OPDdGOP/PNiyuqjz65V//myMsVTZthx4KsaYzFMd7weWxxivno/yJEmdM+BL0txeGWN8eqEbMc82An8A/MlCN0SSNL8M+JJ0gEIIF1H+I0KPAgEYA/4c+O3K4y/GGP99Zb//ATwCvBgYB349xvhgQ3nnAx8EBoAp4H0xxhtDCF8FPh9j/Ghlv/cBR1fK/k3Kf1QmB+wEro4xfj+EsKhS54VAD+U/uPbbMcY9ler+GHhvCOFrMcY7mvRrc4zxzMbHlXfmTwVeRPlP0G+h/Ifb3gqcDPxejPEzlaJWhxBuAY6q1P+uGOOzIYQXAZuBE4E88NkY45+FEE6i/BcwHwROAi6MMe7o8HBIkiq8B1+S5nZz9a86Vv67pu65c4A/jzGuBfYA/xn4BeClwLtDCMdX9tsAfCjGeDbwD8A/1lcQQjia8l+H/J3KPm8FPhlCOBn4MHBVZb8c8JvA34QQLqzsd36McR3wF0C1bb8PFIH1McY1wOOUf/ioisB7gU+FEIa7HI9XAG+s9PG1wEtijBcAVwMfqNvvNODNwFlAwv6/ZvmPlP+y83rgXODiEMIvVZ5bAfxxjPF0w70kHRjfwZekubW7RWdbjHFr5d8PAbtjjFPA0yGEPZTfvQa4L8b4zcq/PwZ8uBLqq14G/CjGeCdAjPF7IYRbgYuATwD/O4SwBji+UmesvHt/GnBbCKFazkgI4SjgUmAZ8HOV5xYBT9Y3PMb40RDCzwMfAd7TxXh8Lca4GyCE8DhwY13/j6rb70sxxqcq+/0D8MEQwn+j/FuFo0IIf1zZbwmwFriL8g8lt3fRFklSAwO+JB2cyYbHhRb7Fev+Xf0ga/0Hd3uAtOE1OSAfY5wOIfwt8DbKAf9v6l7zjzHG/wS1d/ePB0Yrz/1OjPGGynNLgMVN2nUVcD/wq3Xb0ro2QvmHg3qd9rm+f7nKfj2Vsn8mxriv0rblwASwHJiMMRYbC5Ikdc5bdCTp8FgbQji78u93ALfFGHfVPX878OIQwrkAIYQzgAuAr1ee/zvKt8WsZ/9tOP8C/EoI4bjK43cCN9U9d3UIYVEl+H+U8ucFZogxjlIO939Wt/kp4MQQwrEhhAT45QPrMr8YQhgJIfRQ/kHihspnAO4A/kOln8uAW4HXH2AdkqQGBnxJmlvjPfj3hhBe22UZTwB/GkL4DvAG4Nfqn6zcAnQZ8KHKPp8GfiPG+IPK808CdwOfiTEWKtv+lfIHab8aQrgfuBx4U4wxpfwh2u2UP9z6AOV3zX+3WcNijN8A/qru8QPA31bquwPY1mVfqx4ArgO+A+xi/2cALgc2Vvp5Z6VPnzrAOiRJDZI0bfyNsCRpPjV+K80BlrEc+DZwQYzxx/PVNklS9vgOviQ9x4UQrqL81ZEfNNxLkubiO/iSJElShvgOviRJkpQhBnxJkiQpQwz4kiRJUoYY8CVJkqQMMeBLkiRJGfL/AW2+cxziuolnAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 765.725x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=10).map(plt.scatter, \"EmployeeNumber\", \"JobLevel\").add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1b6680ca630>"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 765.725x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.FacetGrid(pf, hue=\"Attrition\", height=10).map(plt.scatter, \"EmployeeNumber\", \"JobSatisfaction\").add_legend()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x223221d0198>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "from pandas.tools.plotting import radviz\n",
    "radviz(pf.drop(\"EmployeeNumber\", axis=1), \"Attrition\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Attrition                   1.000000\n",
       "OverTime                    0.267080\n",
       "DistanceFromHome            0.088563\n",
       "JobRole                     0.086899\n",
       "EducationField              0.055239\n",
       "Department                  0.053364\n",
       "PerformanceRating           0.046762\n",
       "PercentSalaryHike           0.026604\n",
       "NumCompaniesWorked          0.025889\n",
       "Gender                      0.016750\n",
       "BusinessTravel              0.015483\n",
       "TrainingTimesLastYear      -0.043395\n",
       "EmployeeNumber             -0.045168\n",
       "Education                  -0.046494\n",
       "WorkLifeBalance            -0.048794\n",
       "RelationshipSatisfaction   -0.051749\n",
       "YearsSinceLastPromotion    -0.071760\n",
       "EnvironmentSatisfaction    -0.097003\n",
       "JobInvolvement             -0.122722\n",
       "JobSatisfaction            -0.125568\n",
       "StockOptionLevel           -0.138498\n",
       "YearsAtCompany             -0.143697\n",
       "MaritalStatus              -0.153045\n",
       "MonthlyIncome              -0.155521\n",
       "YearsWithCurrManager       -0.158558\n",
       "YearsInCurrentRole         -0.163059\n",
       "JobLevel                   -0.168775\n",
       "Age                        -0.175393\n",
       "TotalWorkingYears          -0.187922\n",
       "Over18                           NaN\n",
       "StandardHours                    NaN\n",
       "Name: Attrition, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "corrDf = pf.corr()\n",
    "corrDf['Attrition'].sort_values(ascending = False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "                               Age  Attrition  BusinessTravel  Department  \\\n",
      "Age                       1.000000  -0.175393        0.024270   -0.017185   \n",
      "Attrition                -0.175393   1.000000        0.015483    0.053364   \n",
      "BusinessTravel            0.024270   0.015483        1.000000   -0.040937   \n",
      "Department               -0.017185   0.053364       -0.040937    1.000000   \n",
      "DistanceFromHome          0.007081   0.088563       -0.040339    0.013349   \n",
      "Education                 0.198558  -0.046494       -0.041300   -0.006280   \n",
      "EducationField            0.021992   0.055239        0.019833   -0.074275   \n",
      "EmployeeNumber           -0.010953  -0.045168       -0.000161   -0.006813   \n",
      "EnvironmentSatisfaction   0.011803  -0.097003       -0.013328   -0.021766   \n",
      "Gender                   -0.029794   0.016750       -0.033992   -0.034053   \n",
      "JobInvolvement            0.066528  -0.122722        0.019014   -0.040219   \n",
      "JobLevel                  0.513882  -0.168775        0.022423    0.107801   \n",
      "JobRole                  -0.104122   0.086899       -0.007332    0.656992   \n",
      "JobSatisfaction          -0.003744  -0.125568       -0.048000    0.012998   \n",
      "MaritalStatus             0.093155  -0.153045        0.048606   -0.028460   \n",
      "MonthlyIncome             0.500163  -0.155521        0.032000    0.053708   \n",
      "NumCompaniesWorked        0.291211   0.025889        0.024687   -0.022710   \n",
      "Over18                         NaN        NaN             NaN         NaN   \n",
      "OverTime                  0.008822   0.267080        0.021945   -0.036675   \n",
      "PercentSalaryHike        -0.011259   0.026604       -0.038822   -0.000022   \n",
      "PerformanceRating        -0.029613   0.046762       -0.033435   -0.020124   \n",
      "RelationshipSatisfaction  0.063489  -0.051749       -0.036396   -0.025962   \n",
      "StandardHours                  NaN        NaN             NaN         NaN   \n",
      "StockOptionLevel         -0.002413  -0.138498        0.001352   -0.007854   \n",
      "TotalWorkingYears         0.682879  -0.187922        0.031168   -0.027084   \n",
      "TrainingTimesLastYear    -0.051702  -0.043395        0.030902    0.051085   \n",
      "WorkLifeBalance          -0.001042  -0.048794       -0.003512    0.048179   \n",
      "YearsAtCompany            0.328651  -0.143697       -0.010005    0.017601   \n",
      "YearsInCurrentRole        0.231842  -0.163059        0.002011    0.059544   \n",
      "YearsSinceLastPromotion   0.230587  -0.071760       -0.041603    0.019319   \n",
      "YearsWithCurrManager      0.212540  -0.158558       -0.021887    0.032234   \n",
      "\n",
      "                          DistanceFromHome  Education  EducationField  \\\n",
      "Age                               0.007081   0.198558        0.021992   \n",
      "Attrition                         0.088563  -0.046494        0.055239   \n",
      "BusinessTravel                   -0.040339  -0.041300        0.019833   \n",
      "Department                        0.013349  -0.006280       -0.074275   \n",
      "DistanceFromHome                  1.000000   0.011437       -0.012073   \n",
      "Education                         0.011437   1.000000       -0.017456   \n",
      "EducationField                   -0.012073  -0.017456        1.000000   \n",
      "EmployeeNumber                    0.029930   0.055979       -0.013594   \n",
      "EnvironmentSatisfaction          -0.010308  -0.032698        0.002050   \n",
      "Gender                            0.023493  -0.011849        0.003614   \n",
      "JobInvolvement                    0.012333   0.022843        0.020255   \n",
      "JobLevel                          0.016470   0.084075       -0.000269   \n",
      "JobRole                          -0.007990   0.005038       -0.035044   \n",
      "JobSatisfaction                  -0.009641  -0.010201       -0.038250   \n",
      "MaritalStatus                     0.035206  -0.001357        0.000854   \n",
      "MonthlyIncome                    -0.017757   0.079834        0.012726   \n",
      "NumCompaniesWorked               -0.016378   0.118484        0.014944   \n",
      "Over18                                 NaN        NaN             NaN   \n",
      "OverTime                          0.037949  -0.022545       -0.020602   \n",
      "PercentSalaryHike                 0.042627  -0.008828       -0.002980   \n",
      "PerformanceRating                 0.021042  -0.000045        0.002615   \n",
      "RelationshipSatisfaction          0.018112  -0.006346        0.010055   \n",
      "StandardHours                          NaN        NaN             NaN   \n",
      "StockOptionLevel                  0.050356   0.035881        0.007566   \n",
      "TotalWorkingYears                 0.001287   0.125672        0.016756   \n",
      "TrainingTimesLastYear            -0.041208  -0.021629        0.046074   \n",
      "WorkLifeBalance                  -0.050950   0.003099        0.036016   \n",
      "YearsAtCompany                    0.000044   0.074522        0.026363   \n",
      "YearsInCurrentRole                0.019317   0.064363        0.010369   \n",
      "YearsSinceLastPromotion          -0.002760   0.067754        0.027559   \n",
      "YearsWithCurrManager              0.008852   0.071870        0.008201   \n",
      "\n",
      "                          EmployeeNumber  EnvironmentSatisfaction    Gender  \\\n",
      "Age                            -0.010953                 0.011803 -0.029794   \n",
      "Attrition                      -0.045168                -0.097003  0.016750   \n",
      "BusinessTravel                 -0.000161                -0.013328 -0.033992   \n",
      "Department                     -0.006813                -0.021766 -0.034053   \n",
      "DistanceFromHome                0.029930                -0.010308  0.023493   \n",
      "Education                       0.055979                -0.032698 -0.011849   \n",
      "EducationField                 -0.013594                 0.002050  0.003614   \n",
      "EmployeeNumber                  1.000000                 0.030428  0.004540   \n",
      "EnvironmentSatisfaction         0.030428                 1.000000 -0.016395   \n",
      "Gender                          0.004540                -0.016395  1.000000   \n",
      "JobInvolvement                 -0.008589                -0.028467  0.030715   \n",
      "JobLevel                       -0.006121                -0.015355 -0.007720   \n",
      "JobRole                        -0.011343                -0.009344 -0.022378   \n",
      "JobSatisfaction                -0.042443                 0.000212  0.084316   \n",
      "MaritalStatus                   0.051372                -0.013340  0.029736   \n",
      "MonthlyIncome                  -0.007147                -0.026410 -0.000793   \n",
      "NumCompaniesWorked             -0.014460                -0.010743 -0.048260   \n",
      "Over18                               NaN                      NaN       NaN   \n",
      "OverTime                       -0.015739                 0.085048 -0.023349   \n",
      "PercentSalaryHike               0.003462                -0.008882  0.051670   \n",
      "PerformanceRating              -0.023701                -0.025044  0.021966   \n",
      "RelationshipSatisfaction       -0.073687                 0.033515  0.039347   \n",
      "StandardHours                        NaN                      NaN       NaN   \n",
      "StockOptionLevel                0.049967                 0.008874  0.022654   \n",
      "TotalWorkingYears              -0.009526                -0.018532 -0.021734   \n",
      "TrainingTimesLastYear           0.017175                -0.045686 -0.060433   \n",
      "WorkLifeBalance                 0.000548                 0.026477 -0.008915   \n",
      "YearsAtCompany                 -0.011106                -0.012574 -0.001999   \n",
      "YearsInCurrentRole             -0.005649                 0.003572 -0.012974   \n",
      "YearsSinceLastPromotion        -0.019621                 0.008843 -0.022249   \n",
      "YearsWithCurrManager           -0.005333                -0.020190  0.011974   \n",
      "\n",
      "                                  ...           RelationshipSatisfaction  \\\n",
      "Age                               ...                           0.063489   \n",
      "Attrition                         ...                          -0.051749   \n",
      "BusinessTravel                    ...                          -0.036396   \n",
      "Department                        ...                          -0.025962   \n",
      "DistanceFromHome                  ...                           0.018112   \n",
      "Education                         ...                          -0.006346   \n",
      "EducationField                    ...                           0.010055   \n",
      "EmployeeNumber                    ...                          -0.073687   \n",
      "EnvironmentSatisfaction           ...                           0.033515   \n",
      "Gender                            ...                           0.039347   \n",
      "JobInvolvement                    ...                           0.048363   \n",
      "JobLevel                          ...                           0.042156   \n",
      "JobRole                           ...                          -0.020194   \n",
      "JobSatisfaction                   ...                          -0.033138   \n",
      "MaritalStatus                     ...                          -0.049365   \n",
      "MonthlyIncome                     ...                           0.050121   \n",
      "NumCompaniesWorked                ...                           0.067295   \n",
      "Over18                            ...                                NaN   \n",
      "OverTime                          ...                           0.055428   \n",
      "PercentSalaryHike                 ...                          -0.024349   \n",
      "PerformanceRating                 ...                          -0.011516   \n",
      "RelationshipSatisfaction          ...                           1.000000   \n",
      "StandardHours                     ...                                NaN   \n",
      "StockOptionLevel                  ...                          -0.060822   \n",
      "TotalWorkingYears                 ...                           0.043001   \n",
      "TrainingTimesLastYear             ...                          -0.004741   \n",
      "WorkLifeBalance                   ...                           0.033513   \n",
      "YearsAtCompany                    ...                           0.016145   \n",
      "YearsInCurrentRole                ...                          -0.015330   \n",
      "YearsSinceLastPromotion           ...                           0.049034   \n",
      "YearsWithCurrManager              ...                          -0.003626   \n",
      "\n",
      "                          StandardHours  StockOptionLevel  TotalWorkingYears  \\\n",
      "Age                                 NaN         -0.002413           0.682879   \n",
      "Attrition                           NaN         -0.138498          -0.187922   \n",
      "BusinessTravel                      NaN          0.001352           0.031168   \n",
      "Department                          NaN         -0.007854          -0.027084   \n",
      "DistanceFromHome                    NaN          0.050356           0.001287   \n",
      "Education                           NaN          0.035881           0.125672   \n",
      "EducationField                      NaN          0.007566           0.016756   \n",
      "EmployeeNumber                      NaN          0.049967          -0.009526   \n",
      "EnvironmentSatisfaction             NaN          0.008874          -0.018532   \n",
      "Gender                              NaN          0.022654          -0.021734   \n",
      "JobInvolvement                      NaN          0.029483           0.018380   \n",
      "JobLevel                            NaN          0.002638           0.784020   \n",
      "JobRole                             NaN         -0.018731          -0.145150   \n",
      "JobSatisfaction                     NaN          0.021123          -0.023343   \n",
      "MaritalStatus                       NaN          0.506096           0.065305   \n",
      "MonthlyIncome                       NaN         -0.006320           0.772043   \n",
      "NumCompaniesWorked                  NaN          0.007861           0.236079   \n",
      "Over18                              NaN               NaN                NaN   \n",
      "OverTime                            NaN         -0.024509           0.005738   \n",
      "PercentSalaryHike                   NaN          0.016313          -0.044268   \n",
      "PerformanceRating                   NaN         -0.007239          -0.013979   \n",
      "RelationshipSatisfaction            NaN         -0.060822           0.043001   \n",
      "StandardHours                       NaN               NaN                NaN   \n",
      "StockOptionLevel                    NaN          1.000000          -0.009695   \n",
      "TotalWorkingYears                   NaN         -0.009695           1.000000   \n",
      "TrainingTimesLastYear               NaN          0.005927          -0.059958   \n",
      "WorkLifeBalance                     NaN          0.015239           0.001474   \n",
      "YearsAtCompany                      NaN          0.021803           0.642581   \n",
      "YearsInCurrentRole                  NaN          0.054659           0.477859   \n",
      "YearsSinceLastPromotion             NaN          0.020428           0.423433   \n",
      "YearsWithCurrManager                NaN          0.022433           0.471592   \n",
      "\n",
      "                          TrainingTimesLastYear  WorkLifeBalance  \\\n",
      "Age                                   -0.051702        -0.001042   \n",
      "Attrition                             -0.043395        -0.048794   \n",
      "BusinessTravel                         0.030902        -0.003512   \n",
      "Department                             0.051085         0.048179   \n",
      "DistanceFromHome                      -0.041208        -0.050950   \n",
      "Education                             -0.021629         0.003099   \n",
      "EducationField                         0.046074         0.036016   \n",
      "EmployeeNumber                         0.017175         0.000548   \n",
      "EnvironmentSatisfaction               -0.045686         0.026477   \n",
      "Gender                                -0.060433        -0.008915   \n",
      "JobInvolvement                        -0.018001        -0.025862   \n",
      "JobLevel                              -0.034620         0.041258   \n",
      "JobRole                                0.025499         0.033328   \n",
      "JobSatisfaction                        0.002754        -0.042767   \n",
      "MaritalStatus                         -0.030862        -0.004438   \n",
      "MonthlyIncome                         -0.039713         0.032247   \n",
      "NumCompaniesWorked                    -0.078332         0.003999   \n",
      "Over18                                      NaN              NaN   \n",
      "OverTime                              -0.106905        -0.001121   \n",
      "PercentSalaryHike                      0.015905         0.017415   \n",
      "PerformanceRating                     -0.007090         0.023840   \n",
      "RelationshipSatisfaction              -0.004741         0.033513   \n",
      "StandardHours                               NaN              NaN   \n",
      "StockOptionLevel                       0.005927         0.015239   \n",
      "TotalWorkingYears                     -0.059958         0.001474   \n",
      "TrainingTimesLastYear                  1.000000         0.046454   \n",
      "WorkLifeBalance                        0.046454         1.000000   \n",
      "YearsAtCompany                        -0.008660         0.030927   \n",
      "YearsInCurrentRole                    -0.002737         0.050156   \n",
      "YearsSinceLastPromotion               -0.001278         0.017293   \n",
      "YearsWithCurrManager                  -0.008574         0.012082   \n",
      "\n",
      "                          YearsAtCompany  YearsInCurrentRole  \\\n",
      "Age                             0.328651            0.231842   \n",
      "Attrition                      -0.143697           -0.163059   \n",
      "BusinessTravel                 -0.010005            0.002011   \n",
      "Department                      0.017601            0.059544   \n",
      "DistanceFromHome                0.000044            0.019317   \n",
      "Education                       0.074522            0.064363   \n",
      "EducationField                  0.026363            0.010369   \n",
      "EmployeeNumber                 -0.011106           -0.005649   \n",
      "EnvironmentSatisfaction        -0.012574            0.003572   \n",
      "Gender                         -0.001999           -0.012974   \n",
      "JobInvolvement                 -0.032189            0.001194   \n",
      "JobLevel                        0.544091            0.411481   \n",
      "JobRole                        -0.086907           -0.042391   \n",
      "JobSatisfaction                -0.013772           -0.011798   \n",
      "MaritalStatus                   0.046593            0.069534   \n",
      "MonthlyIncome                   0.520641            0.388163   \n",
      "NumCompaniesWorked             -0.109451           -0.073029   \n",
      "Over18                               NaN                 NaN   \n",
      "OverTime                        0.010562           -0.022678   \n",
      "PercentSalaryHike              -0.069956           -0.031167   \n",
      "PerformanceRating              -0.025996            0.003619   \n",
      "RelationshipSatisfaction        0.016145           -0.015330   \n",
      "StandardHours                        NaN                 NaN   \n",
      "StockOptionLevel                0.021803            0.054659   \n",
      "TotalWorkingYears               0.642581            0.477859   \n",
      "TrainingTimesLastYear          -0.008660           -0.002737   \n",
      "WorkLifeBalance                 0.030927            0.050156   \n",
      "YearsAtCompany                  1.000000            0.764734   \n",
      "YearsInCurrentRole              0.764734            1.000000   \n",
      "YearsSinceLastPromotion         0.629948            0.568908   \n",
      "YearsWithCurrManager            0.766088            0.708394   \n",
      "\n",
      "                          YearsSinceLastPromotion  YearsWithCurrManager  \n",
      "Age                                      0.230587              0.212540  \n",
      "Attrition                               -0.071760             -0.158558  \n",
      "BusinessTravel                          -0.041603             -0.021887  \n",
      "Department                               0.019319              0.032234  \n",
      "DistanceFromHome                        -0.002760              0.008852  \n",
      "Education                                0.067754              0.071870  \n",
      "EducationField                           0.027559              0.008201  \n",
      "EmployeeNumber                          -0.019621             -0.005333  \n",
      "EnvironmentSatisfaction                  0.008843             -0.020190  \n",
      "Gender                                  -0.022249              0.011974  \n",
      "JobInvolvement                          -0.031097              0.014176  \n",
      "JobLevel                                 0.395195              0.376119  \n",
      "JobRole                                 -0.053433             -0.053619  \n",
      "JobSatisfaction                         -0.009761             -0.041852  \n",
      "MaritalStatus                            0.048158              0.034309  \n",
      "MonthlyIncome                            0.386875              0.344237  \n",
      "NumCompaniesWorked                      -0.038203             -0.101457  \n",
      "Over18                                        NaN                   NaN  \n",
      "OverTime                                -0.012413             -0.044471  \n",
      "PercentSalaryHike                       -0.036370             -0.044119  \n",
      "PerformanceRating                       -0.003074             -0.010380  \n",
      "RelationshipSatisfaction                 0.049034             -0.003626  \n",
      "StandardHours                                 NaN                   NaN  \n",
      "StockOptionLevel                         0.020428              0.022433  \n",
      "TotalWorkingYears                        0.423433              0.471592  \n",
      "TrainingTimesLastYear                   -0.001278             -0.008574  \n",
      "WorkLifeBalance                          0.017293              0.012082  \n",
      "YearsAtCompany                           0.629948              0.766088  \n",
      "YearsInCurrentRole                       0.568908              0.708394  \n",
      "YearsSinceLastPromotion                  1.000000              0.514076  \n",
      "YearsWithCurrManager                     0.514076              1.000000  \n",
      "\n",
      "[31 rows x 31 columns]\n"
     ]
    }
   ],
   "source": [
    "print(corrDf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>Age</th>\n",
       "      <th>BusinessTravel</th>\n",
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       "      <td>922</td>\n",
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      "text/plain": [
       "           Age  BusinessTravel  Department  DistanceFromHome  Education  \\\n",
       "Attrition                                                                 \n",
       "0          922             922         922               922        922   \n",
       "1          178             178         178               178        178   \n",
       "\n",
       "           EducationField  EmployeeNumber  EnvironmentSatisfaction  Gender  \\\n",
       "Attrition                                                                    \n",
       "0                     922             922                      922     922   \n",
       "1                     178             178                      178     178   \n",
       "\n",
       "           JobInvolvement          ...           RelationshipSatisfaction  \\\n",
       "Attrition                          ...                                      \n",
       "0                     922          ...                                922   \n",
       "1                     178          ...                                178   \n",
       "\n",
       "           StandardHours  StockOptionLevel  TotalWorkingYears  \\\n",
       "Attrition                                                       \n",
       "0                    922               922                922   \n",
       "1                    178               178                178   \n",
       "\n",
       "           TrainingTimesLastYear  WorkLifeBalance  YearsAtCompany  \\\n",
       "Attrition                                                           \n",
       "0                            922              922             922   \n",
       "1                            178              178             178   \n",
       "\n",
       "           YearsInCurrentRole  YearsSinceLastPromotion  YearsWithCurrManager  \n",
       "Attrition                                                                     \n",
       "0                         922                      922                   922  \n",
       "1                         178                      178                   178  \n",
       "\n",
       "[2 rows x 30 columns]"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pf.groupby('Attrition').count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "5.179775280898877"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "922/178\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.19305856832971802"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "178/922"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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